Regressionanalysis

BUY & SELL PRESSURE by Regression BUY & SELL PRESSURE by Regression Analysis at candle price/volume (Rate-Of-Change) Ver. 3 By Ricardo M Arjona @XeL_Arjona DISCLAIMER: The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets. The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is. WHAT'S THIS? This is my 3rd. revision of the original implementation for AmiBroker by Karthik Marar's of it's BUY AND SELL PRESSURE INDICATORS but this time, constructed under a complete REGRESSIVE ANALYSIS premise based in Rate Of Change (A kind of Slope but measured in % Performance). Some minimal adaptation's (and cleaning) have been made: Instead of simple Range calculation at price, Rate Of Change (Regressive) is used. Oscillator of Pressure can be deactivated in favor of a simple RoC Cumulative Pressures at candle. Oscillator can read Volume data from external tickers for accurate Index calculation. ( NYA can use TVOL as example.) Code is small, cleaner and faster =) ! Cheers! Any feedback will be welcome... @XeL_Arjona

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Standard Error of the Estimate -Composite Bands-Standard Error of the Estimate - Code and adaptation by @glaz & @XeL_arjona Ver. 2.00.a Original implementation idea of bands by: Traders issue: Stocks & Commodities V. 14:9 (375-379): Standard Error Bands by Jon Andersen This code is a former update to previous "Standard Error Bands" that was wrongly applied given that previous version in reality use the Standard Error OF THE MEAN, not THE ESTIMATE as it should be used by Jon Andersen original idea and corrected in this version. As always I am very Thankfully with the support at the Pine Script Editor chat room, with special mention to user @glaz in order to help me adequate the alpha-beta (y-y') algorithm, as well to give him full credit to implement the "wide" version of the former bands. For a quick and publicly open explanation of this truly statistical (regression analysis) indicator, you can refer at Here! Extract from the former URL: Standard Error Bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.

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